Clinical Informatics Researcher

Clinical Informatics Researcher LocationNew YorkEmployment TypeFull timeLocation TypeRemoteDepartmentDataCompensationTotal Compensation $155K – $170K • Offers EquityOur TeamDandelion Health was founded in 2020 by experts in health tech, hospital systems, academia, and clinical AI. We are building the world’s largest AI training and clinical development platform. Today, we pride ourselves on our ability to make data access as easy as possible for AI developers, pharma, and medical devices, while raising the bar for patient safety and data quality. Tomorrow, we will be the place where any healthcare organization can go to build a responsible clinical AI product. Our culture is all about learning from data and improving, so we can help our clients improve health through AI. Meet the rest of our team here.Our DataWe partner with health systems to safely and ethically make their de-identified patient data available to AI developers. Currently, the data is acquired from Sharp HealthCare, Sanford Health, and Texas Health Resources – with two additional U.S. health systems joining soon.We have clinical data dating back to July 1, 2016. This data represents over 10 million patients and includes but is not limited to:Structured data (e.g., 100% of the EMR, including some claims)Unstructured text (e.g., clinical notes, radiology reports)Images (e.g., DICOM, pathology)VideoWaveformsContinuous streaming monitoring dataYour RoleYou are a technically strong, clinically trained individual with a health informatics and research background who knows your way around clinical and health record data. Your primary responsibility is to own and be responsible for interpreting and analyzing data from hospital systems and clinical workflows, in order to (1) develop meaningful Dandelion data models that accurately represent a patient’s healthcare journey and (2) advise on use of these data for meaningful clinical research projects characterizing disease progression, patient phenotyping and care trajectories. This role bridges clinical practice and informatics knowledge by guiding the representation of clinical concepts, workflows, and outcomes within scalable data models used for regulatory-grade evidence generation. You are not afraid to dig into massive new datasets and get them under control. You are excited to learn new environments, languages, and skills. This is a small, early stage company with enormous ambitions. Your day-to-day priorities will include utilizing data analysis tools to explore clinical data within the Dandelion and health system environments. This will include the following:Querying complex source systems in a range of health data sources (e.g., EMRs, ECG data, DICOM data) to identify and map data tables and their contents.Defining and governing clinical vocabularies, ontologies, and phenotypes and ensuring that client datasets accurately reflect real world care delivery, clinical decision making, and patient trajectories.Developing Dandelion data models by reconciling different healthcare system’s datasets and mapping data fields to standardized clinical ontologies, to enable harmonization across disparate health systems and ensure data elements reflect clinical concepts.Advise on development of clinical research studies using Dandelion data models, including study design, protocol development, dataset definition, analysis, and reporting.Partner closely with data scientists to translate research questions and potential studies into operationalized datasets and key variables, leveraging your clinical and data knowledge.Validate clinical accuracy, interpretability, and appropriate use of data while proactively identifying risks related to data quality, misrepresentation, or misuse.Guiding clinical informatics decisions on choice of clinical vocabularies and ontologies (e.g., ICD, SNOMED, LOINC, CPT) and concept harmonization and terminology mapping strategies based on data use cases.Supporting all phases of SQL/analytical...